IA2 uses Deep Reinforcement Learning to slash database runtimes by 40%, while new Hyperbolic SVM techniques utilize semidefinite relaxation. #deepreinforcementlearning
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#DeepReinforcementLearning
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Posts tagged #DeepReinforcementLearning
IA2 revolutionizes index selection with rapid training, reducing SQL runtime by 61% via adaptive action pruning and workload modeling #deepreinforcementlearning
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IA2 uses a two-phase framework to generate states and action pools from workloads, enabling RL agents to make sequential index selection decisions. #deepreinforcementlearning
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The TD3-TD-SWAR model advances database optimization by framing index selection as a DRL problem with adaptive action masking for faster training. #deepreinforcementlearning
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IA2 uses the TD3-TD-SWAR model and DRL to optimize index selection, reducing TPC-H workload runtime by 40% via adaptive action masking. #deepreinforcementlearning
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#Deepreinforcementlearning (DRL) shows great promise in managing the complexity of the modern electric #powerdistributionsystems. This tutorial outlines how to translate operational tasks into #Markovdecisionprocess formulations suitable for DRL implementation. bit.ly/47FvX8w
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Explore our June issue for insights into #deeplearning methods for #superresolution, the application of #deepreinforcementlearning in #powersystems, and #analogtodigitalconverters for #IoT.
Read more: bit.ly/42UGYBr
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Every 1% efficiency gain in wind = $200K/year/100MW.
9-month payback.
88% of AI energy research never leaves the lab.
New essay on why Deep RL is finally bridging the deployment gap—impact on $50-100B AI energy market.
Full analysis ⬇️
buff.ly/bDPhBjT
#AI #ClimateTech #DeepReinforcementLearning
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Deep RL Controls Vortex‑Induced Vibrations in Real Time
Deep reinforcement learning achieved up to 95% vibration reduction of a circular cylinder in a water‑tunnel flow at Reynolds ≈3000, even with actuator delay. Read more: getnews.me/deep-rl-controls-vortex-... #deepreinforcementlearning #fluidcontrol
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This research validates a weekly re-trained DRL agent, showing it outperforms static models & Black-Scholes for practical American option hedging. #deepreinforcementlearning
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This methodology details how to train and test DRL agents for American option hedging, introducing a novel weekly re-training strategy using Chebyshev pricing. #deepreinforcementlearning
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This review of DRL hedging literature highlights the need for hyperparameter analysis, especially for real-world American option applications. #deepreinforcementlearning
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This paper makes Deep Reinforcement Learning practical for hedging American options by optimizing hyperparameters and using a weekly re-training strategy. #deepreinforcementlearning
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Deep Reinforcement Learning with anticipatory reward in LSTM for
Collision Avoidance of Mobile Robots
François Guérin, Frédéric Guinand et al.
Paper
Details
#DeepReinforcementLearning #AnticipatoryRewards #MobileRobotCollisionAvoidance
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ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End
Autonomous Driving with BEV-Perception
Dongsheng Yang, Lei He et al.
Paper
Details
#ME3BEV #DeepReinforcementLearning #AutonomousDriving
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Deep reinforcement and transfer learning for autonomous robots, how does it work? 🤔
Find out more: t.co/x42FlhLm8e
🤖 Get your Duckiebot and Duckiedrone - t.co/p6XbHk78wr
#Robotics #AI #DeepReinforcementLearning #TransferLearning #Sim2Real t.co/kKW3qLURNX
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Generative AI Glossary – Part 16
As artificial intelligence continues to transform industries and reshape how we approach complex....
#GenerativeAI #AIGlossary #AttentionMechanisms #BehavioralCloning #DeepReinforcementLearning #AITech
Read more:
aiadoptionagency.com/generative-a...
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If you are interested in large language models see my paper below on how we can uncover the biases learned by these models.
Link: neurips2023-enlsp.github.io/papers/paper...
#ReinforcementLearning #FoundationModels #DeepRL #DeepReinforcementLearning #ResponsibleAI #AIBias #LLMs #LanguageModels
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If you are interested in deep reinforcement learning, I will share this repo here:
Link: github.com/EzgiKorkmaz/...
#ReinforcementLearning #SafeAI #Adversarial #Robust #DeepRL #robustRL #LanguageModels #AdversarialRL #AISafety #ExplainableAI #TrustworthyAI #ResponsibleAI #DeepReinforcementLearning
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A recent paper I wrote introduces foundational analysis on deep reinforcement learning decision making and representations learnt by it.
Link: proceedings.mlr.press/v235/korkmaz...
#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
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I wrote a recent survey about deep reinforcement learning. The paper is a compact guide to understand some of the key concepts in reinforcement learning.
Link: arxiv.org/pdf/2401.023...
#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
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The recent paper I wrote on deep reinforcement learning and generalization will appear #NeurIPS2024 @neuripsconf.bsky.social !
#ReinforcementLearning #DeepReinforcementLearning
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Tekgul & Asokan's "FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks"
Last but not least, came Tekgul & Asokan's "FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks" which is robust to model modification attacks. (www.acsac.org/2023/p...) 4/4
#MachineLearningSecurity #DeepReinforcementLearning #SecurityInAI
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